Comparison of Total Number of Bacteria in Raw Milk Friesian Holstein Cow Based on Milking Techniques Using Total Plate Count (TPC) Test

Nur Alia Faustin Kusumah, Widjiati Widjiati, Yulianna Puspitasari, Wiwiek Tyasningsih, DhandyKoesoemo Wardhana, Dian Ayu Permatasari, and Epy Muhammad Luqman

Abstract

The aim of this research was to know the comparison of total number of bacteria in raw   milk based on milking techniques. This research used purposive sampling and used 30 samples, 15 cows from Lucky Farm and 15 cows from three traditional farmers in Medowo Village, Kandangan District, Kediri Regency. All samples were tested using pour plate method Total Plate Count (TPC) test in Veterinary Public Health Laboratory of Veterinary Medicine Faculty, Universitas Airlangga in Surabaya. The existing data will be processed with Kolmogorov normality test and Independent T-test. The result of this research served in tables. The research was conducted in January to February 2022. The result showed that there are some samples have a total number of bacteria that meet predetermined standards, but some other samples do not meet the standards of SNI according to SNI 7388:2009 which is 1 x 106 CFU/ml. The average number of the machine-milked sample was 3.5 x 105 CFU/ml, while in the conventionally milked sample was 2.9 x 106 CFU/ml. The results of the analysis using the Independent T-test showed that there was significant difference in the number of bacteria in milk using machine and conventional milking (p<0.05).

Keywords

raw milk; total plate count; bacteria; FH cow; food production

Cite This Article

Kusumah, N. A. F., Widjiati, W., Puspitasari, Y., Tyasningsih, W., Wardhana, D., Permatasari, D. A., Luqman, E. M. (2023). Comparison of Total Number of Bacteria in Raw Milk Friesian Holstein Cow Based on Milking Techniques Using Total Plate Count (TPC) Test. International Journal of Scientific Advances (IJSCIA), Volume 4| Issue 1: Jan-Feb 2023, Pages 37-40, URL: https://www.ijscia.com/wp-content/uploads/2023/01/Volume4-Issue1-Jan-Feb-No.388-37-40.pdf

Volume 4 | Issue 1: Jan-Feb 2023

 

ISSN: 2708-7972

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This work is licensed under a Creative Commons Attribution 4.0 (International) Licence.(CC BY-NC 4.0).

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